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Remote Certifying Scientist Jobs (NOW HIRING)

DataAnnotation

$60/hr

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

Apex Systems

$60 - $70/hr

Sr. Data Scientist Location: 100% Remote Employment Type: Contract Role Overview We are seeking a ... Current Principal Data Scientist (PDS) Certification. * Excellent problem-solving skills and the ...

DataAnnotation

Decision Scientist

Honolulu, HI · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Decision Scientist

Helena, MT · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

DataAnnotation

Decision Scientist

Charleston, WV · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

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$50.5K

$111.3K

$137.5K

How much do remote certifying scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for remote certifying scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a Remote Certifying Scientist job?

A Remote Certifying Scientist analyzes and certifies laboratory test results, typically in forensic toxicology or drug testing. They ensure that data meets regulatory standards and provide expert interpretation of findings. Working remotely, they review reports, verify accuracy, and may testify in legal cases if needed. Strong attention to detail, compliance knowledge, and scientific expertise are essential for this role.

What are the key skills and qualifications needed to thrive in the Remote Certifying Scientist position, and why are they important?

To excel as a Remote Certifying Scientist, you need a solid background in laboratory science, analytical chemistry, or toxicology, often supported by a relevant degree and industry-specific certifications. Familiarity with laboratory information management systems (LIMS), chain-of-custody protocols, and regulatory compliance procedures is critical. Strong attention to detail, independent problem-solving abilities, and effective written communication are vital soft skills for remote collaboration and accurate documentation. These competencies ensure that scientific data is verified with integrity and in compliance with legal and organizational standards while working off-site.

What are the primary responsibilities and typical workflow for a Remote Certifying Scientist?

As a Remote Certifying Scientist, your main responsibilities include reviewing and certifying laboratory results, ensuring all data meets quality and regulatory standards before release. You will often work independently but collaborate regularly with lab analysts, quality assurance teams, and occasionally clients via digital communication tools. Tasks may involve analyzing documentation, verifying test results, handling result discrepancies, and maintaining detailed records, all while adhering strictly to confidentiality and compliance requirements. This role requires strong organizational skills and a high level of self-motivation due to its remote nature.
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Remote Certifying Scientist jobs near you
Remote AI Research Scientist & Quantitative Trainer

Remote AI Research Scientist & Quantitative Trainer

DataAnnotation

Nevada, IA • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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